A system for real-time three-dimensional (3D) visualization of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, a machine learning engine and a 3D visualization engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system. The 3D visualization engine renders the virtual system model and the forecasted aspect into a 3D visual model.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A system for real-time three-dimensional (3D) visualization of an electrical system, comprising: a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; a power analytics server communicatively connected to the data acquisition component, comprising a virtual system modeling engine configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, the analytics engine further configured to initiate a calibration and synchronization operation to update the virtual system model in real-time when a difference between the real-time data output and the predicted data output exceeds a threshold, a machine learning engine configured to store and process patterns observed from the real-time data output and the predicted data output, the machine learning engine further configured to forecast an aspect of the electrical system, and a 3D visualization engine configured to render the virtual system model and the forecasted aspect into a 3D visual model of the electrical system; and a client terminal communicatively connected to the power analytics server and configured to display the 3D visual model.
2. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein, the machine learning engine includes an associative memory layer, a sensory layer, and a neocortical model.
3. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein the virtual system model includes current system components and operational parameters comprising the electrical system.
4. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein the forecasted aspect is a predicted ability of the electrical system to resist system output deviations from defined tolerance limits of the electrical system.
5. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein the forecasted aspect is a predicted reliability and availability of the electrical system.
6. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein the forecasted aspect is a predicted total power capacity of the electrical system.
7. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 6 , wherein the forecasted aspect is a predicted ability of the electrical system to maintain availability of total power capacity.
8. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 6 , wherein the forecasted aspect is a predicted utilization of the total power capacity of the electrical system.
9. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 1 , wherein the forecasted aspect is a predicted ability of the electrical system to withstand a contingency event that results in stress to the electrical system.
10. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 9 , wherein the contingency event relates to load shedding.
11. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 9 , wherein the contingency event relates to load adding.
12. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 9 , wherein the contingency event relates to loss of utility power supply to the electrical system.
13. The system for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 9 , wherein the contingency event relates to a loss of distribution infrastructure associated with the electrical system.
14. A computer-implemented method for real-time three-dimensional (3D) visualization of an electrical system, where one or more processors are programmed to perform steps comprising: acquiring real-time data from a sensor configured to acquire the real-time data from the electrical system; generating predicted data output from the electrical system using the updated virtual system model; monitoring the predicted data output for the electrical system generated using the virtual system model; initiating a calibration and synchronization operation to update the virtual system model in real-time when a difference between the real-time data and the predicted data output exceeds a threshold; storing and processing patterns observed from the real-time data output and the predicted data output using a machine learning engine; forecasting an aspect of the electrical system using the machine learning engine; and rendering the forecasted aspect into a 3D visual model of the electrical system using a 3D visualization engine.
15. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted ability of the electrical system to resist system output deviations from defined tolerance limits of the electrical system.
16. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted reliability and availability of the electrical system.
17. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted total power capacity of the electrical system.
18. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted ability of the electrical system to maintain availability of total power capacity.
19. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted utilization of the total power capacity of the electrical system.
20. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 14 , wherein the forecasted aspect is a predicted ability of the electrical system to withstand a contingency event that results in stress to the electrical system.
21. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 20 , wherein the contingency event relates to load shedding.
22. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 20 , wherein the contingency event relates to load adding.
23. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 20 , wherein the contingency event relates to loss of utility power supply to the electrical system.
24. The method for real-time three-dimensional (3D) visualization of an electrical system, as recited in claim 20 , wherein the contingency event relates to a loss of distribution infrastructure associated with the electrical system.
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July 12, 2007
May 1, 2012
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